Performance evaluation of image compression on PCA-based face recognition systems

Image compression has received tremendous research input in recent times; however, only few works have been done with respect to face recognition regardless of the fact that, usually, face images need to be transmitted across networks for recognition purposes as seen in surveillance systems. This work analytically investigates the effects of image compression on recognition accuracies of three selected PCA-based algorithms. The algorithms investigated include standard PCA, MPCA and MPCALDA algorithms. As a form of an extensive research, experiments conducted include both in compressed and uncompressed domains where the three algorithms have been exhaustively analyzed. We statistically present the results obtained which shows no significant depreciation in the recognition accuracies.